视频图matlab代码-Tracking_by_detection:系统使用yolov3/KCF&DSST/KF来检测,跟踪和估计目标位置

上传者: 38545243 | 上传时间: 2021-06-04 22:27:15 | 文件大小: 197KB | 文件类型: ZIP
视频图matlab代码 Tracking_by_detection A Python3-based system use yolov3/KCF&DSST/KF to detect,tracking and estimate the target(people and cars) location. 这是我的本科毕设项目,主要通过YOLOv3识别,利用KCF-DSST-APCE完成抗遮挡的尺度变化跟踪,并用卡尔曼滤波估计位置。 视频效果/video : Test environment Intel Core i5-8300H Nvidia GTX 1050Ti Ubuntu 18.04LTS Python3 OPENCV3.4.4 Requirements CUDA9.0 CUDNN7 Python3 OPENCV Numpy Numba Code structure yolo.py:detect fhog.py:give fhog feature tracker.py:track run.py:basic framework run2.py:add more visualization

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